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Data X:
11 7 17 10 12 12 11 11 12 13 14 16 11 10 11 15 9 11 17 17 11 18 14 10 11 15 15 13 16 13 9 18 18 12 17 9 9 12 18 12 18 14 15 16 10 11 14 9 12 17 5 12 12 6 24 12 12 11 7 13 12 13 12 8 11 9 11 13 10 11 12 9 15 18 15 12 13 14 10 13 13 11 13 16 8 16 11 9 16 12 14 8 9 15 11 21 14 18 12 13 15 12 16 15 11 11 10 13 15 12 12 16 9 18 8 13 17 10 15 8 7 12 14 6 8 17 10 11 14 11 13 12 11 9 12 20 12 13 12 12 9 15 24 7 17 11 17 11 12 14 11 16 21 14 20 9 11 15 16
Data Y:
26 23 25 23 19 29 25 21 22 25 24 18 22 15 22 28 20 12 24 20 21 20 21 23 28 24 24 24 23 23 29 24 18 25 21 26 22 22 22 23 30 23 17 23 23 25 24 24 23 21 24 24 28 16 20 29 27 22 28 16 25 24 29 24 23 30 24 21 25 25 22 23 26 23 25 21 25 24 29 22 27 26 22 24 27 24 25 29 22 21 24 24 23 20 27 26 25 21 21 19 21 21 18 22 29 15 17 15 21 21 19 24 20 17 23 24 14 23 24 13 22 16 19 25 25 23 24 26 26 25 18 21 26 23 23 22 20 13 24 15 14 22 10 24 22 24 19 20 13 20 22 24 29 12 20 20 24 22 18
Sample Range:
(leave blank to include all observations)
From:
To:
xgridsize
ygridsize
xbandwidth
(zero to use default)
ybandwidth
(zero to use default)
correlation
(zero to use actual correlation)
display contours
(Y/N)
Y
Y
N
display data points
(Y/N)
Y
Y
N
colors
terrain.colors
rainbow
heat.colors
topo.colors
cm.colors
Chart options
Title:
Label y-axis:
Label x-axis:
R Code
par1 <- as(par1,'numeric') par2 <- as(par2,'numeric') par3 <- as(par3,'numeric') par4 <- as(par4,'numeric') par5 <- as(par5,'numeric') library('GenKern') if (par3==0) par3 <- dpik(x) if (par4==0) par4 <- dpik(y) if (par5==0) par5 <- cor(x,y) if (par1 > 500) par1 <- 500 if (par2 > 500) par2 <- 500 bitmap(file='bidensity.png') op <- KernSur(x,y, xgridsize=par1, ygridsize=par2, correlation=par5, xbandwidth=par3, ybandwidth=par4) image(op$xords, op$yords, op$zden, col=terrain.colors(100), axes=TRUE,main=main,xlab=xlab,ylab=ylab) if (par6=='Y') contour(op$xords, op$yords, op$zden, add=TRUE) if (par7=='Y') points(x,y) (r<-lm(y ~ x)) abline(r) box() dev.off() load(file='createtable') a<-table.start() a<-table.row.start(a) a<-table.element(a,'Bandwidth',2,TRUE) a<-table.row.end(a) a<-table.row.start(a) a<-table.element(a,'x axis',header=TRUE) a<-table.element(a,par3) a<-table.row.end(a) a<-table.row.start(a) a<-table.element(a,'y axis',header=TRUE) a<-table.element(a,par4) a<-table.row.end(a) a<-table.row.start(a) a<-table.element(a,'Correlation',2,TRUE) a<-table.row.end(a) a<-table.row.start(a) a<-table.element(a,'correlation used in KDE',header=TRUE) a<-table.element(a,par5) a<-table.row.end(a) a<-table.row.start(a) a<-table.element(a,'correlation(x,y)',header=TRUE) a<-table.element(a,cor(x,y)) a<-table.row.end(a) a<-table.end(a) table.save(a,file='mytable.tab')
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Raw Output
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Computing time
0 seconds
R Server
Big Analytics Cloud Computing Center
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